AI-Enabled Nano-Biosensors for Ultra-Sensitive Diagnostics
Revolutionizing Diagnostics with AI-Enhanced Nano-Biosensors for Unmatched Sensitivity.
About This Course
Nano-biosensors have emerged as powerful tools for detecting biomolecules at extremely low concentrations, opening new avenues for early diagnosis and personalized medicine. By incorporating AI into these sensors, their ability to detect subtle biological markers can be significantly improved, enabling quicker and more accurate diagnoses. The synergy of AI with nano-biosensors enhances their predictive power and operational efficiency, making them ideal for a wide range of diagnostic applications.
This workshop will cover the fundamentals of nano-biosensors, their application in diagnostics, and how AI models can optimize their design and functionality. Participants will also gain hands-on experience with AI techniques to analyze sensor data and improve diagnostic sensitivity. Case studies will focus on the use of these technologies in detecting diseases like cancer, diabetes, and infectious diseases.
Aim
This workshop aims to explore the integration of AI with nano-biosensors for ultra-sensitive diagnostics. Participants will learn how AI can enhance the performance of nano-biosensors in detecting biomolecules with high sensitivity and specificity, transforming diagnostic techniques across healthcare and environmental sectors.
Workshop Objectives
- Understand the principles of nano-biosensors and their role in diagnostics.
- Learn how AI enhances the sensitivity and specificity of nano-biosensors.
- Gain practical experience in designing AI models for sensor data analysis.
- Explore the application of nano-biosensors in disease detection and early diagnosis.
- Discover the challenges and opportunities of integrating AI with nano-biosensor technologies.
Workshop Structure
Day 1 – Introduction to AI + Nano-Biosensors
- Fundamentals of biosensors (optical, electrochemical, plasmonic)
- Role of nanomaterials in enhancing sensitivity & specificity
- AI applications in biosensor data interpretation
- Real-world case studies from infectious disease and cancer diagnostics
Day 2 – Designing AI-Integrated Biosensing Systems
- Sensor signal acquisition and data preprocessing
- AI/ML algorithms for signal classification and anomaly detection
- Demonstration: Using AI to distinguish disease vs. healthy signals
- Challenges in integrating AI models into sensor hardware
Day 3 – Commercial & Clinical Applications
- Deployment in point-of-care devices
- Remote diagnostics using IoT + AI-enabled sensors
- Market potential and industry adoption trends
- Capstone Project Discussion: Drafting an AI-biosensor prototype concept
Who Should Enrol?
- Undergraduate/postgraduate degree in Nanotechnology, Biomedical Engineering, Biotechnology, Bioinformatics, or related fields.
- Professionals in healthcare, diagnostics, medical device development, and environmental monitoring sectors.
- Data scientists and AI/ML engineers interested in applying AI to biosensor technologies.
- Individuals passionate about advancements in diagnostic technologies and healthcare innovation.
Important Dates
Registration Ends
09/27/2025
IST 7:00 PM
Workshop Dates
09/27/2025 – 09/29/2025
IST 8:00 PM
Workshop Outcomes
- Ability to understand and implement nano-biosensors for ultra-sensitive diagnostics.
- Knowledge of how AI can improve the performance of diagnostic technologies.
- Hands-on experience in applying AI models for biosensor data analysis.
- Insights into the use of nano-biosensors in personalized and early disease detection.
- Ability to integrate AI and nano-biosensors in real-world diagnostic applications.
Fee Structure
Student Fee
₹1399 | $50
Ph.D. Scholar / Researcher Fee
₹1699 | $55
Academician / Faculty Fee
₹2199 | $65
Industry Professional Fee
₹2699 | $85
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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